implemented microsoft model and openai model.

app.py

@@ -5,16 +5,33 @@
 from transformers import pipeline
 import os
 import openai
-
 openai.organization = "org-5Z0c3Uk1VG7t3TsczN6M4FCi"
 #openai.api_key = os.getenv("OPENAI_API_KEY")
 openai.api_key_path ="./key.txt" 
-print(openai.api_key)
-print(openai.Model.list())
-
 
-pipe = pipeline("image-classification", model="microsoft/resnet-50")
-result = pipe("./man-holding-banana.jpeg")
-print(result[0]['label'])
+def askGPT(prompt="what can I make with potato?"):
+    response = openai.ChatCompletion.create(
+      model="gpt-3.5-turbo",
+      messages=[
+        {
+          "role": "system",
+          "content":prompt 
+        },
+        {
+          "role": "user",
+          "content": ""
+        }      ],
+      temperature=1,
+      max_tokens=256,
+      top_p=1,
+      frequency_penalty=0,
+      presence_penalty=0
+    )
+    result = response["choices"][0]["message"]["content"]
+    return result
 
+def classifyImage(image):
+    pipe = pipeline("image-classification", model="microsoft/resnet-50")
+    result = pipe(image)
+    return result[0]['label']