Update app.py

app.py

@@ -7,15 +7,45 @@ url="https://huggingface.co/TheBloke/WizardLM-13B-V1.2-GGUF/resolve/main/wizardl
 response = requests.get(url)
 with open("./model.gguf", mode="wb") as file:
   file.write(response.content)
-
-llm = Llama(model_path="./model.gguf")
-def response(input_text, history):
-    output = llm(f"Q: {input_text} A:", max_tokens=256, stop=["Q:", "\n"], echo=True)
-    return output['choices'][0]['text']
-
-gr.ChatInterface(response).queue().launch(share=True) #False, server_name="0.0.0.0", server_port=7864)
+print("Model downloaded")
 
 command = ["python3", "-m", "llama_cpp.server", "--model", "./model.gguf", "--host", "0.0.0.0", "--port", "2600"]
 subprocess.Popen(command)
+print("Model ready!")
 
-print("Hello world")
+#llm = Llama(model_path="./model.gguf")
+#def response(input_text, history):
+#    output = llm(f"Q: {input_text} A:", max_tokens=256, stop=["Q:", "\n"], echo=True)
+#    return output['choices'][0]['text']
+
+def response(message, history):
+  #url="https://afischer1985-wizardlm-13b-v1-2-q4-0-gguf.hf.space/v1/completions"
+  url="http://localhost:2600/v1/completions"  
+  body={"prompt":"Im Folgenden findest du eine Instruktion, die eine Aufgabe bescheibt. Schreibe eine Antwort, um die Aufgabe zu lösen.\n\n### Instruktion:\n"+message+"\n\n### Antwort:","max_tokens":500, "echo":"False","stream":"True"} #128
+  response=""
+  buffer=""
+  print("URL: "+url)
+  print("User: "+message+"\nAI: ")
+  for text in requests.post(url, json=body, stream=True):  #-H 'accept: application/json' -H 'Content-Type: application/json'
+    print("*** Raw String: "+str(text)+"\n***\n")
+    text=text.decode('utf-8')
+    if(text.startswith(": ping -")==False):buffer=str(buffer)+str(text)
+    print("\n*** Buffer: "+str(buffer)+"\n***\n") 
+    buffer=buffer.split('"finish_reason": null}]}')
+    if(len(buffer)==1):
+      buffer="".join(buffer)
+      pass
+    if(len(buffer)==2):
+      part=buffer[0]+'"finish_reason": null}]}'  
+      if(part.lstrip('\n\r').startswith("data: ")): part=part.lstrip('\n\r').replace("data: ", "")
+      try: 
+        part = str(json.loads(part)["choices"][0]["text"])
+        print(part, end="", flush=True)
+        response=response+part
+        buffer="" # reset buffer
+      except:
+        pass
+    yield response 
+
+gr.ChatInterface(response).queue().launch(share=True) #False, server_name="0.0.0.0", server_port=7864)
+print("Interface up and running!")