Create app.py

app.py

@@ -0,0 +1,51 @@
+from gradio_client import Client
+from hugchat import hugchat
+from hugchat.login import Login
+import json
+import gradio as gr
+
+chat_client = Client("https://huggingfaceh4-falcon-chat.hf.space/")
+
+
+retrieval = Client("https://slycat-southampton-similarity.hf.space/")
+
+n_conv = 0
+## Instruction: You are an AI language model and must return truthful responses as per the information below\n ##Input: Information: Your name is IITIGPT. You are a helpful and truthful chatbot. You can help answer any questions about the IIT Indore campus."
+init_prompt =""
+info="Information: \n"
+q_prompt="\n ##Instruction: Please  provide an appropriate response to the following: \n"
+
+
+def change_conv():
+    # Create a new conversation
+    id = chatbot.new_conversation()
+    chatbot.change_conversation(id)
+    chatbot.chat(init_prompt)
+    chatbot.cookies = {}
+    
+def main(question):
+    global n_conv
+    # if(n_conv > 3):
+    #     n_conv = 0
+    #     change_conv(chatbot)
+    information = retrieval.predict(question, api_name = "/predict")
+    answer=chat_client.predict(
+				"Howdy!",
+        "new.json",   
+        "You are an AI language model and must return truthful responses as per the information below\n ##Input: Information: Your name is IITIGPT. You are a helpful and truthful chatbot. You can help answer any questions about the IIT Indore campus." +information+question,	# str  in 'Type an input and press Enter' Textbox component
+        0.8,
+        0.9,
+				fn_index=4
+)
+
+    
+    n_conv+=1
+    print(answer)
+
+    return answer
+
+
+demo = gr.Interface(main)
+
+if __name__ == "__main__":
+    demo.launch()