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Update app.py
Browse files
app.py
CHANGED
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@@ -179,21 +179,32 @@ def create_deepseek_interface():
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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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-
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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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#
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# Execute search
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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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@@ -202,22 +213,27 @@ Here are recent search results related to the user's question. Use this informat
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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 =
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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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# 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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@@ -234,7 +250,7 @@ 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": True
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}
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headers = {
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"Accept": "application/json",
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@@ -242,20 +258,18 @@ 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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try:
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response
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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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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 =
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# Process streaming response
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for line in response.iter_lines():
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@@ -268,29 +282,61 @@ When citing search results, mention the source, and ensure your answer reflects
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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
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continue
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#
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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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-
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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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@@ -310,7 +356,8 @@ When citing search results, mention the source, and ensure your answer reflects
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chatbot = gr.Chatbot(
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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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@@ -325,12 +372,14 @@ 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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if not serphouse_api_key:
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-
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if not api_key:
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-
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if api_key and serphouse_api_key:
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-
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# Input area
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with gr.Row():
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@@ -338,7 +387,8 @@ When citing search results, mention the source, and ensure your answer reflects
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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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@@ -363,7 +413,8 @@ When citing search results, mention the source, and ensure your answer reflects
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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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lambda: "",
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None,
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@@ -374,7 +425,8 @@ When citing search results, mention the source, and ensure your answer reflects
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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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lambda: "",
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None,
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@@ -386,4 +438,4 @@ When citing search results, mention the source, and ensure your answer reflects
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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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# 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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if not api_key:
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error_msg = "Environment variable FW_API_KEY is not set. Please check the environment variables on the server."
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yield history + [(message, error_msg)], error_msg
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return
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search_context = ""
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search_info = ""
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# Create new history with the user message
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new_history = history + [(message, "")]
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if use_deep_research:
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try:
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# Update with search status
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new_history[-1] = (message, "🔍 Extracting optimal keywords and searching the web...")
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yield new_history, ""
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# Execute search
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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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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...\n\n"
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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)}\n\n"
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# Update history with search info
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new_history[-1] = (message, search_info)
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yield new_history, ""
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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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if user and assistant: # Only add non-empty messages
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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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messages.insert(0, {"role": "system", "content": search_context})
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# Add new user message
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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
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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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print(f"Calling DeepSeek API...")
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print(f"Number of messages in conversation: {len(messages)}")
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try:
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response = requests.post(url, headers=headers, json=payload, stream=True)
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response.raise_for_status()
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print(f"API Response Status: {response.status_code}")
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# Full response text
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full_response = search_info
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chunk_count = 0
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# Process streaming response
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for line in response.iter_lines():
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# Check for stream end message
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if line_text == "[DONE]":
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print(f"Stream completed. Total chunks: {chunk_count}")
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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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# Check if there's content in the chunk
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if "choices" in chunk and len(chunk["choices"]) > 0:
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delta = chunk["choices"][0].get("delta", {})
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chunk_content = delta.get("content", "")
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if chunk_content:
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chunk_count += 1
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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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# Debug: Print first few chunks
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if chunk_count <= 5:
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print(f"Chunk {chunk_count}: {repr(chunk_content[:50])}")
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# Yield updated history
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yield new_history, ""
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except json.JSONDecodeError as e:
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print(f"JSON decode error: {e}")
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print(f"Line content: {repr(line_text[:100])}")
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continue
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# Final update
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if not full_response or full_response == search_info:
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# If no response was generated, add an error message
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full_response = search_info + "Error: No response generated from the model. Please try again."
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new_history[-1] = (message, full_response)
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print(f"Final response length: {len(full_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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print(f"Request error: {error_msg}")
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new_history[-1] = (message, search_info + error_msg)
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yield new_history, 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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new_history[-1] = (message, search_info + error_msg)
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yield new_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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chatbot = gr.Chatbot(
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height=500,
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show_label=False,
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container=True,
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type="tuples" # Explicitly set type
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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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status_text = ""
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if not serphouse_api_key:
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status_text = "⚠️ SERPHOUSE_API_KEY is not set"
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if not api_key:
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status_text = "⚠️ FW_API_KEY is not set"
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if api_key and serphouse_api_key:
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status_text = "✅ API keys configured"
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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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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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queue=True # Enable queue for streaming
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).then(
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lambda: "",
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None,
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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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queue=True # Enable queue for streaming
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).then(
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lambda: "",
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None,
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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, share=False, server_name="0.0.0.0", server_port=7860)
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