Updated list of Working Models

app.py

@@ -1,129 +1,89 @@
-from models import *
-import gradio as gr
-
-GPT_4 = "deepseek/deepseek-chat-v3-0324:free" #12
-PHI_4 = "microsoft/phi-4" #2
-PHI_3 = "microsoft/phi-3-medium-128k-instruct:free" #3
-GEMMA_3_27B = "google/gemma-3-27b-it:free" #4
-GEMIN_FLASH_THINK = "google/gemini-2.0-flash-thinking-exp:free" #6
-GEMIN_FLASH = "google/gemini-flash-1.5-8b-exp" #7
-QWEN_32B = "qwen/qwq-32b:free" #8
-QWEN_25 = "qwen/qwen2.5-vl-72b-instruct:free" #10 #error
-DEEPSEEK_R1 = "deepseek/deepseek-r1:free" #11
-DEEPSEEK_R1_ZERO = "deepseek/deepseek-r1-zero:free" #13
-META_LLAMA_MODEL = "meta-llama/Llama-3.3-70B-Instruct:free" #14
-MISTRAL_SMALL_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free" #15
-MISTRAL_NEMO = "mistralai/mistral-nemo:free" #16
-ZEPHYR = "huggingfaceh4/zephyr-7b-beta:free" #17
-OLYMPIC_CODER = "open-r1/olympiccoder-32b:free" #19
-LEARN = "google/learnlm-1.5-pro-experimental:free" #20
-REKA_FLASH = "rekaai/reka-flash-3:free" #21
-OPEN_CHAT = "openchat/openchat-7b:free" #21
-TOPPY = "undi95/toppy-m-7b:free" #23
-MOONLIGHT = "moonshotai/moonlight-16b-a3b-instruct:free"
-
-CONCISE_ENGLISH_PROMPT = "Answer in short and precise English sentences."
-
-def get_model(title, dev, model, name, user_input, system_prompt):
-    if user_input.lower() == "data":
-        df = get_data()
-        return df
-    
-    if user_input.lower() == "text":
-        text = get_text()
-        return text
-
-    if name == "" or name is None:
-        return "Enter Your Name !"
-        
-    if model is None or model == "":
-        return "Select AI Model !"
-
-    chain = ModelChain()
-    prompt = system_prompt + " " + CONCISE_ENGLISH_PROMPT
-
-    # Check the model and map to the correct model
-    if "ChatGPT" == model: #1
-        return chain.generate_response(GPT_4, name, user_input, prompt)
-    elif "Phi-4" == model: #2
-        return chain.generate_response(PHI_4, name, user_input, prompt)
-    elif "Phi-3" == model: #3
-        return chain.generate_response(PHI_3, name, user_input, prompt)
-    elif "Gemma-3" == model: #4
-        return chain.generate_response(GEMMA_3_27B, name, user_input, prompt)
-    elif "Gemini-2-Flash-Think" == model: #6
-        return chain.generate_response(GEMIN_FLASH_THINK, name, user_input, prompt)
-    elif "Gemini-Flash" == model: #7
-        return chain.generate_response(GEMIN_FLASH, name, user_input, prompt)
-    elif "QwQ-32B" == model: #8
-        return chain.generate_response(QWEN_32B, name, user_input, prompt)
-    elif "Qwen2.5" == model: #10
-        return chain.generate_response(QWEN_25, name, user_input, prompt)
-    elif "DeepSeek-R1" == model: #11
-        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
-    elif "DeepSeek-R1-Zero" == model: #11
-        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
-    elif "Llama-3.3" == model: #14
-        return chain.generate_response(META_LLAMA_MODEL, name, user_input, prompt)
-    elif "Mistral-Small" == model: #15
-        return chain.generate_response(MISTRAL_SMALL_MODEL, name, user_input, prompt)
-    elif "Mistral-Nemo" == model: #16
-        return chain.generate_response(MISTRAL_NEMO, name, user_input, prompt)
-    elif "Zephyr" == model: #17
-        return chain.generate_response(ZEPHYR, name, user_input, prompt)
-    elif "Olympic-Coder" == model: #19
-        return chain.generate_response(OLYMPIC_CODER, name, user_input, prompt)
-    elif "LearnLM" == model: #20
-        return chain.generate_response(LEARN, name, user_input, prompt)
-    elif "Reka-Flash" == model: #21
-        return chain.generate_response(REKA_FLASH, name, user_input, prompt)
-    elif "OpenChat" == model: #21
-        return chain.generate_response(OPEN_CHAT, name, user_input, prompt)
-    elif "Toppy" == model: #21
-        return chain.generate_response(TOPPY, name, user_input, prompt)
-    elif "MoonLight" == model: #21
-        return chain.generate_response(MOONLIGHT, name, user_input, prompt)
-    else:
-        return "Invalid Model Name : " + model
-
-def main():
-    view = gr.Interface(
-        fn= get_model,
-        inputs = [
-            gr.Markdown("# Switch AI"),
-            gr.Markdown("### by Kalash"),
-            gr.Radio(
-                [
-                "ChatGPT", #1
-                "Phi-4", #2
-                "Phi-3", #3
-                "Gemma-3", #4
-                "Gemini-2-Flash-Think", #6
-                "Gemini-Flash", #7
-                "QwQ-32B", #9
-                "Qwen2.5", #11
-                "DeepSeek-R1", #12
-                "DeepSeek-R1-Zero", #12
-                "Llama-3.3", #15
-                "Mistral-Small", #16
-                "Mistral-Nemo", #17
-                "Zephyr", #18
-                "Olympic-Coder", #20
-                "LearnLM", #8
-                "Reka-Flash", #21
-                "OpenChat", #22
-                "Toppy", #22
-                "MoonLight", #22
-                ],
-            label = "Choose AI Model", value = "ChatGPT"),
-            gr.Textbox(label = "Your Name", placeholder = "Enter Your Name"),
-            gr.Textbox(label = "Your Query", placeholder = "Enter Your Question"),
-            gr.Textbox(label = "System Prompt", placeholder = "Enter Custom System Propmt (Optional)"),
-        ],
-        outputs = [gr.Textbox(label ="AI Response", lines = 25)],
-        flagging_mode = "never"
-    ).launch(share=True)
-    # ).launch(share=False, server_port=54321)
-
-if __name__ == '__main__':
+from models import *
+import gradio as gr
+
+GPT_4 = "deepseek/deepseek-chat-v3-0324:free" #12
+PHI_4 = "microsoft/phi-4" #2
+GEMMA_3_27B = "google/gemma-3-27b-it:free" #4
+QWEN_32B = "qwen/qwq-32b:free" #8
+QWEN_25 = "qwen/qwen2.5-vl-72b-instruct:free" #10 #error
+DEEPSEEK_R1 = "deepseek/deepseek-r1:free" #11
+DEEPSEEK_R1_ZERO = "deepseek/deepseek-r1-zero:free" #13
+META_LLAMA_MODEL = "meta-llama/Llama-3.3-70B-Instruct:free" #14
+MISTRAL_SMALL_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free" #15
+MISTRAL_NEMO = "mistralai/mistral-nemo:free" #16
+
+CONCISE_ENGLISH_PROMPT = "Answer in short and precise English sentences."
+
+def get_model(title, dev, model, name, user_input, system_prompt):
+    if user_input.lower() == "data":
+        df = get_data()
+        return df
+    
+    if user_input.lower() == "text":
+        text = get_text()
+        return text
+
+    if name == "" or name is None:
+        return "Enter Your Name !"
+        
+    if model is None or model == "":
+        return "Select AI Model !"
+
+    chain = ModelChain()
+    prompt = system_prompt + " " + CONCISE_ENGLISH_PROMPT
+
+    # Check the model and map to the correct model
+    if "ChatGPT" == model: #1
+        return chain.generate_response(GPT_4, name, user_input, prompt)
+    elif "Phi-4" == model: #2
+        return chain.generate_response(PHI_4, name, user_input, prompt)
+    elif "Gemma-3" == model: #4
+        return chain.generate_response(GEMMA_3_27B, name, user_input, prompt)
+    elif "QwQ-32B" == model: #8
+        return chain.generate_response(QWEN_32B, name, user_input, prompt)
+    elif "Qwen2.5" == model: #10
+        return chain.generate_response(QWEN_25, name, user_input, prompt)
+    elif "DeepSeek-R1" == model: #11
+        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
+    elif "DeepSeek-R1-Zero" == model: #11
+        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
+    elif "Llama-3.3" == model: #14
+        return chain.generate_response(META_LLAMA_MODEL, name, user_input, prompt)
+    elif "Mistral-Small" == model: #15
+        return chain.generate_response(MISTRAL_SMALL_MODEL, name, user_input, prompt)
+    elif "Mistral-Nemo" == model: #16
+        return chain.generate_response(MISTRAL_NEMO, name, user_input, prompt)
+    else:
+        return "Invalid Model Name : " + model
+
+def main():
+    view = gr.Interface(
+        fn= get_model,
+        inputs = [
+            gr.Markdown("# Switch AI"),
+            gr.Markdown("### by Kalash"),
+            gr.Radio(
+                [
+                "ChatGPT", #1
+                "Phi-4", #2
+                "Gemma-3", #4
+                "QwQ-32B", #9
+                "Qwen2.5", #11
+                "DeepSeek-R1", #12
+                "DeepSeek-R1-Zero", #12
+                "Llama-3.3", #15
+                "Mistral-Small", #16
+                "Mistral-Nemo", #17
+                ],
+            label = "Choose AI Model", value = "ChatGPT"),
+            gr.Textbox(label = "Your Name", placeholder = "Enter Your Name"),
+            gr.Textbox(label = "Your Query", placeholder = "Enter Your Question"),
+            gr.Textbox(label = "System Prompt", placeholder = "Enter Custom System Propmt (Optional)"),
+        ],
+        outputs = [gr.Textbox(label ="AI Response", lines = 25)],
+        flagging_mode = "never"
+    ).launch(share=True)
+    # ).launch(share=False, server_port=54321)
+
+if __name__ == '__main__':
     main()