Update app.py

app.py

@@ -1,21 +1,27 @@
-from transformers import DistilBertTokenizer, DistilBertModel
-import torch
-tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-cased-distilled-squad')
-model = DistilBertModel.from_pretrained('distilbert-base-cased-distilled-squad')
-
-question, text = "Who was Jim Henson?", "Jim Henson was a nice puppet"
+import openai
+import gradio as gr
 
-inputs = tokenizer(question, text, return_tensors="pt")
-with torch.no_grad():
-    outputs = model(**inputs)
+#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
 
-print(outputs)
+openai.api_key = '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'
 
-import gradio as gr
+def openai_chat(prompt):
+    completions = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=prompt,
+        max_tokens=2048,
+        n=1,
+        temperature=0.5,
+    )
 
+    message = completions.choices[0].text
+    return message.strip()
 
-def greet(name):
-    return "Hello " + name + "!!"
+def chatbot(input, history=[]):
+    output = openai_chat(input)
+    history.append((input, output))
+    return history, history
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+gr.Interface( title = 'An Alternative to chatGPT - Built by Hrishikesh', fn = chatbot,
+             inputs = ["text",'state'],
+             outputs = ["chatbot",'state']).launch(debug = True )