Update app.py

app.py

@@ -8,7 +8,7 @@ translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-de")
 def blipofasinki(input_img): 
     b64_string = gr.processing_utils.encode_url_or_file_to_base64(input_img)
     #blip-Nucleus
-    responsen = requests.post(url='https://hf.space/embed/Salesforce/BLIP/+/api/predict/', json={"data": [ b64_string,"Image Captioning","None",str('Nucleus sampling')]})
+    """responsen = requests.post(url='https://hf.space/embed/Salesforce/BLIP/+/api/predict/', json={"data": [ b64_string,"Image Captioning","None",str('Nucleus sampling')]})
     jresn = responsen.json()
     capn = jresn["data"][0]
     offset = len(str("caption:"))
@@ -21,18 +21,18 @@ def blipofasinki(input_img):
     capb = jresb["data"][0]
     capb = capb[offset:]
     trans_capb = translator(capb)
-    tcb = trans_capb[0]['translation_text']
+    tcb = trans_capb[0]['translation_text']"""
     #ofa
     responseo = requests.post(url='https://hf.space/embed/OFA-Sys/OFA-Image_Caption/+/api/predict/', json={"data": [b64_string]})
     jreso = responseo.json()
     capo = jreso["data"][0]
     trans_capo = translator(capo)
     tco = trans_capo[0]['translation_text']
-    return [tcn, tcb, tco]
-    #return [str("Hallo"), capo, tco]
+    #return [tcn, tcb, tco]
+    return [str("Hallo"), capo, tco]
     
 
-description = "A direct comparison in image captioning between BLIP and OFA (in German translated with Helsinki)."
+description = "BACK IN A SECOND, doing ofa only shit. A direct comparison in image captioning between BLIP and OFA (in German translated with Helsinki)."
 
 input_ = [gr.inputs.Image(type='filepath', label="Input Image")]