Update app.py

app.py

@@ -29,14 +29,17 @@ user_db = {os.environ['username1']: os.environ['password1']}
 messages = [{"role": "system", "content": 'You are a helpful assistant.'}]
 
 
+def init_pinecone():
+    pinecone.init(api_key=pinecone_key, environment=pinecone_environment)
+    return
+
+
 
 
 def process_file(index_name, dir):
-    
-    pinecone.init(
-        api_key=pinecone_key,
-        environment=pinecone_environment
-    )
+
+    init_pinecone()
+
     #using openai embedding hence dim = 1536
     pinecone.create_index(index_name, dimension=1536, metric="euclidean")
     
@@ -52,17 +55,28 @@ def process_file(index_name, dir):
 
     #pipeline='zh_core_web_sm'
     
-    
-    
-    
 
-    return list_pinecone(index_name)
+    return 
+
+
+def list_pinecone():
+    init_pinecone()
+    return pinecone.list_indexes()
+
+
+def show_pinecone(index_name):
+    init_pinecone()
+    return pinecone.describe_index(index_name)
+
+
+
+def delete_pinecone(index_name):
+    init_pinecone()
+    pinecone.delete_index(index_name)
+    return
+
 
 
-def list_pinecone(index_name):
-    index = pinecone.Index(index_name)
-    stats = index.describe_index_stats()
-    return stats
 
 
 
@@ -156,7 +170,7 @@ vector_server = gr.Interface(fn=process_file, inputs=["text", gr.inputs.File(fil
 
 #audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
 #siri = gr.Interface(fn=siriGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs = "audio")
-file = gr.Interface(fn=fileGPT, inputs=["text", "file"], outputs="text", description = "Enter prompt sentences and your PDF. e.g. lets think step by step, summarize this following text:  或者 让我们一步一步地思考，总结以下的内容:")
+file = gr.Interface(fn=fileGPT, inputs=["text", "file"], outputs=None, description = "Enter prompt sentences and your PDF. e.g. lets think step by step, summarize this following text:  或者 让我们一步一步地思考，总结以下的内容:")
 demo = gr.TabbedInterface([role, text, file, chatHistory, vector_server], [ "roleChoice", "chatGPT", "fileGPT", "ChatHistory", "VectorServer"])
 
 if __name__ == "__main__":