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Update app.py
Browse files
app.py
CHANGED
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@@ -22,7 +22,8 @@ def create_deepseek_interface():
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def extract_keywords_with_llm(query):
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if not api_key:
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return "FW_API_KEY not set for LLM keyword extraction.", query
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-
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# Extract keywords using LLM (DeepSeek model)
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url = "https://api.fireworks.ai/inference/v1/chat/completions"
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payload = {
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@@ -32,7 +33,7 @@ def create_deepseek_interface():
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"messages": [
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{
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"role": "system",
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"content": "
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},
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{
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"role": "user",
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@@ -177,51 +178,49 @@ def create_deepseek_interface():
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f"- **Search Term**: {search_query}\n" + \
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f"- **Parameters**: {params}\n"
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#
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def
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"""Non-streaming version that returns complete response"""
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print(f"\n=== Starting query_deepseek_no_stream ===")
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print(f"Message: {message}")
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print(f"History length: {len(history)}")
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print(f"Deep Research: {use_deep_research}")
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if not api_key:
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return
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search_context = ""
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search_info = ""
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-
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if use_deep_research:
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try:
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print(f"Deep Research activated: Starting search for '{message}'")
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search_results = search_with_serphouse(message)
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print(f"Search results received: {search_results[:100]}...")
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if not search_results.startswith("Error during search") and not search_results.startswith("SERPHOUSE_API_KEY"):
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search_context = f"""
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Here are recent search results related to the user's question. Use this information to provide an accurate response with the latest information:
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{search_results}
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Based on the above search results, answer the user's question. If you cannot find a clear answer in the search results, use your knowledge to provide the best answer.
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When citing search results, mention the source, and ensure your answer reflects the latest information.
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"""
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search_info = "🔍 Deep Research feature activated: Generating response based on relevant web search results
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else:
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print(f"Search failed or no results: {search_results}")
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search_info = f"🔍 Search error: {search_results}\n\n"
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except Exception as e:
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print(f"Exception occurred during Deep Research: {str(e)}")
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search_info = f"🔍 Deep Research feature error: {str(e)}
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# Prepare conversation history for API request
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messages = []
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for
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messages.append({"role": "assistant", "content": assistant_msg})
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# Add system message with search context if available
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if search_context:
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messages.insert(0, {"role": "system", "content": search_context})
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# Add new user message
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@@ -230,7 +229,7 @@ When citing search results, mention the source, and ensure your answer reflects
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# Prepare API request
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url = "https://api.fireworks.ai/inference/v1/chat/completions"
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payload = {
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"model": "accounts/fireworks/models/deepseek-
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"max_tokens": 20480,
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"top_p": 1,
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"top_k": 40,
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@@ -238,7 +237,7 @@ When citing search results, mention the source, and ensure your answer reflects
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"frequency_penalty": 0,
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"temperature": 0.6,
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"messages": messages,
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"stream":
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}
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headers = {
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"Accept": "application/json",
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@@ -246,58 +245,63 @@ When citing search results, mention the source, and ensure your answer reflects
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"Authorization": f"Bearer {api_key}"
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}
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print(f"Calling DeepSeek API (no streaming)...")
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print(f"Number of messages in conversation: {len(messages)}")
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try:
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#
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full_response =
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-
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-
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# Return
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except requests.exceptions.RequestException as e:
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error_msg = f"API error: {str(e)}"
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if hasattr(e, 'response') and e.response and e.response.status_code == 401:
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error_msg = "Authentication failed. Please check your FW_API_KEY environment variable."
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print(f"Request error: {error_msg}")
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return history + [(message, search_info + error_msg)], ""
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except Exception as e:
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error_msg = f"Unexpected error: {str(e)}"
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print(f"Unexpected error: {error_msg}")
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import traceback
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traceback.print_exc()
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return history + [(message, search_info + error_msg)], ""
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# Function to call DeepSeek API with streaming
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def query_deepseek_streaming(message, history, use_deep_research):
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print(f"\n=== Starting query_deepseek_streaming ===")
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print(f"Message: {message}")
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print(f"History length: {len(history)}")
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print(f"Deep Research: {use_deep_research}")
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# For now, use non-streaming version
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return query_deepseek_no_stream(message, history, use_deep_research)
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# Create Gradio interface
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with gr.Blocks(theme="soft", fill_height=True) as demo:
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# Header section
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gr.Markdown(
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"""
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# 🤖
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###
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"""
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)
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@@ -310,7 +314,6 @@ When citing search results, mention the source, and ensure your answer reflects
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height=500,
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show_label=False,
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container=True
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# Use default format
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)
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# Add Deep Research toggle and status display
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@@ -325,14 +328,12 @@ When citing search results, mention the source, and ensure your answer reflects
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api_status = gr.Markdown("API Status: Ready")
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# Check and display API key status
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status_text = ""
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if not serphouse_api_key:
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-
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if not api_key:
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if api_key and serphouse_api_key:
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api_status.value = status_text
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# Input area
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with gr.Row():
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label="Message",
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placeholder="Enter your prompt here...",
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show_label=False,
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scale=9
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lines=2
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)
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submit = gr.Button("Send", variant="primary", scale=1)
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@@ -362,15 +362,9 @@ When citing search results, mention the source, and ensure your answer reflects
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# Error message display
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error_box = gr.Markdown("")
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# Function to handle submission
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def handle_submit(message, history, use_deep_research):
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if not message.strip():
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return history, ""
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return query_deepseek_no_stream(message, history, use_deep_research)
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# Connect buttons to functions
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submit.click(
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inputs=[msg, chatbot, use_deep_research],
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outputs=[chatbot, error_box]
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).then(
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@@ -381,7 +375,7 @@ When citing search results, mention the source, and ensure your answer reflects
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# Allow Enter key submission
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msg.submit(
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inputs=[msg, chatbot, use_deep_research],
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outputs=[chatbot, error_box]
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).then(
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# Run interface
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if __name__ == "__main__":
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print("Starting Deepseek Interface...")
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demo = create_deepseek_interface()
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demo.launch(
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debug=True,
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share=False,
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server_name="0.0.0.0",
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server_port=7860,
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show_error=True
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)
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def extract_keywords_with_llm(query):
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if not api_key:
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return "FW_API_KEY not set for LLM keyword extraction.", query
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# Extract keywords using LLM (DeepSeek model)
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url = "https://api.fireworks.ai/inference/v1/chat/completions"
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payload = {
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"messages": [
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{
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"role": "system",
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"content": "Extract key search terms from the user's question that would be effective for web searches. Provide these as a search query with words separated by spaces only, without commas. For example: 'Prime Minister Han Duck-soo impeachment results'"
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},
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{
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"role": "user",
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f"- **Search Term**: {search_query}\n" + \
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f"- **Parameters**: {params}\n"
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# Function to call DeepSeek API with streaming
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def query_deepseek_streaming(message, history, use_deep_research):
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if not api_key:
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yield history, "Environment variable FW_API_KEY is not set. Please check the environment variables on the server."
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return
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search_context = ""
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search_info = ""
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if use_deep_research:
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try:
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# Start search (first message)
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yield history + [(message, "🔍 Extracting optimal keywords and searching the web...")], ""
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# Execute search - add logs for debugging
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print(f"Deep Research activated: Starting search for '{message}'")
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search_results = search_with_serphouse(message)
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print(f"Search results received: {search_results[:100]}...") # Output first part of results
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if not search_results.startswith("Error during search") and not search_results.startswith("SERPHOUSE_API_KEY"):
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search_context = f"""
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Here are recent search results related to the user's question. Use this information to provide an accurate response with the latest information:
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{search_results}
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Based on the above search results, answer the user's question. If you cannot find a clear answer in the search results, use your knowledge to provide the best answer.
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When citing search results, mention the source, and ensure your answer reflects the latest information.
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"""
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search_info = f"🔍 Deep Research feature activated: Generating response based on relevant web search results..."
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else:
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print(f"Search failed or no results: {search_results}")
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except Exception as e:
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print(f"Exception occurred during Deep Research: {str(e)}")
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search_info = f"🔍 Deep Research feature error: {str(e)}"
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# Prepare conversation history for API request
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messages = []
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for user, assistant in history:
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messages.append({"role": "user", "content": user})
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messages.append({"role": "assistant", "content": assistant})
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# Add system message with search context if available
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if search_context:
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# DeepSeek model supports system messages
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messages.insert(0, {"role": "system", "content": search_context})
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# Add new user message
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# Prepare API request
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url = "https://api.fireworks.ai/inference/v1/chat/completions"
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payload = {
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"model": "accounts/fireworks/models/deepseek-v3-0324",
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"max_tokens": 20480,
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"top_p": 1,
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"top_k": 40,
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"frequency_penalty": 0,
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"temperature": 0.6,
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"messages": messages,
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"stream": True # Enable streaming
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}
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headers = {
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"Accept": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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try:
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# Request streaming response
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response = requests.request("POST", url, headers=headers, data=json.dumps(payload), stream=True)
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response.raise_for_status() # Raise exception for HTTP errors
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# Add message and start with initial response
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new_history = history.copy()
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# Include search_info in starting message if available
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start_msg = search_info if search_info else ""
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new_history.append((message, start_msg))
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# Full response text
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full_response = start_msg
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# Process streaming response
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for line in response.iter_lines():
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if line:
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line_text = line.decode('utf-8')
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# Remove 'data: ' prefix
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if line_text.startswith("data: "):
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line_text = line_text[6:]
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# Check for stream end message
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if line_text == "[DONE]":
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break
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try:
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# Parse JSON
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chunk = json.loads(line_text)
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chunk_content = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "")
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if chunk_content:
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full_response += chunk_content
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# Update chat history
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new_history[-1] = (message, full_response)
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yield new_history, ""
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except json.JSONDecodeError:
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continue
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# Return final response
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yield new_history, ""
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except requests.exceptions.RequestException as e:
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error_msg = f"API error: {str(e)}"
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if hasattr(e, 'response') and e.response and e.response.status_code == 401:
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error_msg = "Authentication failed. Please check your FW_API_KEY environment variable."
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yield history, error_msg
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# Create Gradio interface
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with gr.Blocks(theme="soft", fill_height=True) as demo:
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# Header section
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gr.Markdown(
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"""
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# 🤖 DeepSeek V3-0324 + Research
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### DeepSeek V3-0324 Latest Model + Real-time 'Deep Research' Agentic AI System @ https://discord.gg/openfreeai
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"""
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)
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height=500,
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show_label=False,
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container=True
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)
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# Add Deep Research toggle and status display
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api_status = gr.Markdown("API Status: Ready")
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# Check and display API key status
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if not serphouse_api_key:
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api_status.value = "⚠️ SERPHOUSE_API_KEY is not set"
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if not api_key:
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api_status.value = "⚠️ FW_API_KEY is not set"
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if api_key and serphouse_api_key:
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api_status.value = "✅ API keys configured"
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# Input area
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with gr.Row():
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label="Message",
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placeholder="Enter your prompt here...",
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show_label=False,
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scale=9
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)
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submit = gr.Button("Send", variant="primary", scale=1)
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# Error message display
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error_box = gr.Markdown("")
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# Connect buttons to functions
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submit.click(
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query_deepseek_streaming,
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inputs=[msg, chatbot, use_deep_research],
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outputs=[chatbot, error_box]
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).then(
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# Allow Enter key submission
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msg.submit(
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query_deepseek_streaming,
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inputs=[msg, chatbot, use_deep_research],
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outputs=[chatbot, error_box]
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).then(
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# Run interface
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if __name__ == "__main__":
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demo = create_deepseek_interface()
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+
demo.launch(debug=True)
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