add more models

.gitignore

@@ -0,0 +1 @@
+/myvenv

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
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+-----END CERTIFICATE-----

app.py

@@ -1,9 +1,16 @@
 from models import ModelChain
 import gradio as gr
 
-DEEPSEEK_MODEL = "deepseek/deepseek-r1:free"
-GEMINI_MODEL = "google/gemini-2.0-flash-exp:free"
+DEEPSEEK_R1_MODEL = "deepseek/deepseek-r1:free"
+GEMINI_2ZERO_MODEL = "google/gemini-2.0-flash-exp:free"
 QWEN_MODEL="qwen/qwen2.5-vl-72b-instruct:free"
+DOLPHIN_MODEL = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free"
+MISTRAL_MODEL = "mistralai/mistral-small-24b-instruct-2501:free"
+ROGUE_MODEL = "sophosympatheia/rogue-rose-103b-v0.2:free"
+DEEPSEEK_V3_MODEL = "deepseek/deepseek-chat:free"
+META_LLAMA_MODEL = "meta-llama/llama-3.3-70b-instruct:free"
+GEMINI_1DOT5_MODEL="google/gemini-flash-1.5-8b"
+MYTHOMAX_L2_13B_MODEL ="gryphe/mythomax-l2-13b"
 
 def get_models_response(models,user_input,system_prompt):
     if len(models) >1:
@@ -12,18 +19,32 @@ def get_models_response(models,user_input,system_prompt):
         print(f"Reponse using model {models}")
         chain = ModelChain()
         if models[0]=="deepseek-r1":
-            return chain.get_model_response(DEEPSEEK_MODEL,user_input,system_prompt)
+            return chain.get_model_response(DEEPSEEK_R1_MODEL,user_input,system_prompt)
         elif models[0]=="gemini-2.0-flash-exp":
-            return chain.get_model_response(GEMINI_MODEL,user_input,system_prompt)
+            return chain.get_model_response(GEMINI_2ZERO_MODEL,user_input,system_prompt)
         elif models[0]=="qwen2.5-vl-72b-instruct":
             return chain.get_model_response(QWEN_MODEL,user_input,system_prompt)
+        elif models[0] =="dolphin3.0-r1-mistral-24b":
+            return chain.get_model_response(DOLPHIN_MODEL,user_input,system_prompt)
+        elif models[0] == "mistral-small-24b-instruct-2501":
+            return chain.get_model_response(MISTRAL_MODEL,user_input,system_prompt)
+        elif models[0] == "rogue-rose-103b-v0.2":
+            return chain.get_model_response(ROGUE_MODEL,user_input,system_prompt)
+        elif models[0] == "deepseek-chat":
+            return chain.get_model_response(DEEPSEEK_V3_MODEL,user_input,system_prompt)
+        elif models[0] == "llama-3.3-70b-instruct":
+            return chain.get_model_response(META_LLAMA_MODEL,user_input,system_prompt)
+        elif models[0] == "gemini-flash-1.5-8b":
+            return chain.get_model_response(GEMINI_1DOT5_MODEL,user_input,system_prompt)
+        elif models[0] == "mythomax-l2-13b":
+            return chain.get_model_response(MYTHOMAX_L2_13B_MODEL,user_input,system_prompt)
         else:
             return "Current Unsupported"
 
 def main():
     view = gr.Interface(
         fn= get_models_response,
-        inputs = [gr.CheckboxGroup(["gemini-2.0-flash-exp","deepseek-r1","qwen2.5-vl-72b-instruct"], label = "Response model", value = "deepseek-r1"),gr.Textbox(label = "Your input",lines = 10, placeholder = "Nhập nội dung"), gr.Textbox(label = "Nhiệm vụ của Bot", placeholder = "Vd: bạn là một chuyên gia thương mại điện tử 10 năm kinh nghiệm hãy giúp tôi trả lời các câu hỏi sau")], 
+        inputs = [gr.CheckboxGroup(["gemini-2.0-flash-exp","deepseek-r1","qwen2.5-vl-72b-instruct","dolphin3.0-r1-mistral-24b","mistral-small-24b-instruct-2501","rogue-rose-103b-v0.2","deepseek-chat","llama-3.3-70b-instruct","gemini-flash-1.5-8b","mythomax-l2-13b"], label = "Response model", value = "deepseek-r1"),gr.Textbox(label = "Your input",lines = 10, placeholder = "Nhập nội dung"), gr.Textbox(label = "Nhiệm vụ của Bot", placeholder = "Vd: bạn là một chuyên gia thương mại điện tử 10 năm kinh nghiệm hãy giúp tôi trả lời các câu hỏi sau")], 
         outputs = gr.Textbox(label ="Output", lines = 26),
         flagging_mode = "never",
         stop_btn = gr.Button("Stop",variant = "stop",visible = True),