Add application file

app.py

@@ -0,0 +1,47 @@
+import random
+import gradio as gr
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/facebook/blenderbot-3B"
+headers = {"Authorization": "Bearer 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"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+    
+#output = query({
+#"inputs": {
+  #"past_user_inputs": ["Which movie is the best ?"],
+# "generated_responses": ["It's Die Hard for sure."],
+# "text": "Can you explain why ?"
+#},
+#})
+def chat(message, history):
+    past_user=["what is your name?"]
+    generated=["I am Sade, Funbi's AI chatbot"]
+    history = history or []
+    message = message.lower()
+    if message.startswith("what is your name"):
+        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
+    elif "your name" in message:
+        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
+    elif "who are you" in message:
+        response = random.choice(["I am Sade an AI chatbot made by Funbi,how are you?","Sade, an AI chatbot made by Funbi, feel free to ask me anything"])
+    else:
+        response = query({"inputs": {"past_user_inputs":past_user,"generated_responses":generated,"text":message},})
+        response = response['generated_text']
+    past_user.append(message)
+    generated.append(response)
+    history.append((message, response))
+    return history, history
+
+chatbot = gr.Chatbot().style(color_map=("green", "pink"))
+demo = gr.Interface(
+    chat,
+    ["text", "state"],
+    [chatbot, "state"],
+    allow_flagging="never",title="Chatbot",
+    description="This is chatbot made by using a pre-train model by Facebook called blender and I then primed it with a little extra information",
+
+)
+demo.launch()